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dc.contributor.authorAtabakhsh, Homa
dc.contributor.authorSchroeder, Jennifer
dc.contributor.authorChen, Hsinchun
dc.contributor.authorChau, Michael
dc.contributor.authorXu, Jennifer J.
dc.contributor.authorZhang, Jing
dc.contributor.authorBi, Haidong
dc.date.accessioned2004-08-22T00:00:01Z
dc.date.available2010-06-18T23:33:52Z
dc.date.issued2001en_US
dc.date.submitted2004-08-22en_US
dc.identifier.citationCOPLINK Knowledge Management for Law Enforcement: Text Analysis, Visualization and Collaboration 2001,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105754
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractCrime and police report information is rapidly migrating from paper records to automated records management databases. Most mid and large sized police agencies have such systems that provide access to information by their own personnel, but lack any efficient manner by which to provide that information to other agencies. Criminals show no regard for jurisdictional boundaries and in fact take advantage of the lack of communication across jurisdictions. Federal standards initiatives such as the National Incident Based Reporting System (NIBRS, US Department of Justice 1998), are attempting to provide reporting standards to police agencies to facilitate future reporting and information sharing among agencies as these electronic reporting systems become more widespread. We integrated platform-independence, stability, scalability, and an intuitive graphical user interface to develop the COPLINK system, which is currently being deployed at Tucson Police Department (TPD). User evaluations of the application allowed us to study the impact of COPLINK on law enforcement personnel as well as to identify requirements for improving the system and extending the project. We are currently in the process of extending the functionality of COPLINK in several areas. These include textual analysis, collaboration, visualization and geo-mapping.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectDatabase Searching Instructionsen_US
dc.subjectData Miningen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherCopLinken_US
dc.titleCOPLINK Knowledge Management for Law Enforcement: Text Analysis, Visualization and Collaborationen_US
dc.typeConference Posteren_US
refterms.dateFOA2018-08-21T14:09:11Z
html.description.abstractCrime and police report information is rapidly migrating from paper records to automated records management databases. Most mid and large sized police agencies have such systems that provide access to information by their own personnel, but lack any efficient manner by which to provide that information to other agencies. Criminals show no regard for jurisdictional boundaries and in fact take advantage of the lack of communication across jurisdictions. Federal standards initiatives such as the National Incident Based Reporting System (NIBRS, US Department of Justice 1998), are attempting to provide reporting standards to police agencies to facilitate future reporting and information sharing among agencies as these electronic reporting systems become more widespread. We integrated platform-independence, stability, scalability, and an intuitive graphical user interface to develop the COPLINK system, which is currently being deployed at Tucson Police Department (TPD). User evaluations of the application allowed us to study the impact of COPLINK on law enforcement personnel as well as to identify requirements for improving the system and extending the project. We are currently in the process of extending the functionality of COPLINK in several areas. These include textual analysis, collaboration, visualization and geo-mapping.


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